Generalized adjacency and Laplacian spectra of the weighted corona graphs

被引:9
|
作者
Dai, Meifeng [1 ]
Shen, Junjie [1 ]
Dai, Lingfei [1 ]
Ju, Tingting [1 ]
Hou, Yongbo [1 ]
Su, Weiyi [2 ]
机构
[1] Jiangsu Univ, Inst Appl Syst Anal, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Nanjing Univ, Dept Math, Nanjing 210093, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Weighted corona graph; Generalized adjacency matrix; Laplacian spectrum; SCALE-FREE; NETWORK;
D O I
10.1016/j.physa.2019.121285
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Recently, corona product graphs have attracted a great deal of attention from scientific communities, such as coding theory, frequency assignment, mathematical chemistry. Meanwhile, weight factor gradually became a research hotpoint because of closing to reality. Hence, we introduce the weighted corona graphs in this paper. The weighted corona product graphs are the in-depth and promotion of the corona product graphs, linking the spectra between the initial graph and the product graph. Then, we deduce the complete information of generalized adjacency and Laplacian eigenvalues of the weighted product graph with different structures. And we generalize the results obtained previously into product corona graph with m(>= 1) iterations. (C) 2019 Published by Elsevier B.V.
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页数:9
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